<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">AJCC</journal-id><journal-title-group><journal-title>American Journal of Climate Change</journal-title></journal-title-group><issn pub-type="epub">2167-9495</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ajcc.2018.73029</article-id><article-id pub-id-type="publisher-id">AJCC-87431</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Contribution of Rice Plants and Cover Crop Biomass Amended Soil on Methane Emission
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Md</surname><given-names>Mozammel Haque</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jatish</surname><given-names>Chandra Biswas</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Muhammad</surname><given-names>Ashraful Alam</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Pil</surname><given-names>Joo Kim</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Division of Applied Life Science, Gyeongsang National University, Jinju, South Korea</addr-line></aff><aff id="aff2"><addr-line>Soil Science Division, Bangladesh Rice Research Institute, Gazipur, Bangladesh</addr-line></aff><aff id="aff3"><addr-line>Institute of Agriculture and Life Science, Gyeongsang National University, Jinju, South Korea</addr-line></aff><pub-date pub-type="epub"><day>13</day><month>07</month><year>2018</year></pub-date><volume>07</volume><issue>03</issue><fpage>477</fpage><lpage>485</lpage><history><date date-type="received"><day>21,</day>	<month>June</month>	<year>2018</year></date><date date-type="rev-recd"><day>17,</day>	<month>September</month>	<year>2018</year>	</date><date date-type="accepted"><day>20,</day>	<month>September</month>	<year>2018</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Rice plant and soil are playing vital role for produce of methane (CH
  <sub>4</sub>) emission from flooded rice soil. Contribution of rice plants and cover crop biomass amended soil on methane emission has not been yet studied under different cover crop biomass incorporated in paddy fields. Closed-chamber method was used to estimate CH
  <sub>4</sub> emission rates during rice cultivation under soil plus rice plants and soil alone condition. Soil plus rice plants chambers 62 &#215; 62 &#215; 112 cm
  <sup>3</sup> and soil alone chambers 20 &#215; 20 cm
  <sup>2</sup> were placed at the same time during rice cultivation (0 days after rice transplanting). Therefore, to evaluate the contribution of soil plus rice plants and soil alone on methane (CH
  <sub>4</sub>) emission under different rates of cover crop biomass incorporated soil during rice cultivation. Methane emission from soil plus rice plants increased up to 53 days after transplanting (DAT) and then it’s decreased and continued till harvesting. It was found that ca. 47% - 52% CH
  <sub>4</sub> was mediated by rice plants and ca. 48% - 53% through rice soil alone under 12 Mg
  &#183;ha
  <sup>-1</sup> cover crop biomass incorporated treated plots. Whereas, only ca. 9% - 10% CH
  <sub>4</sub> emission was mediated by rice plants and ca. 90% - 91% by rice soil alone when 0 and 3 Mg
  &#183;ha
  <sup>-1</sup> cover crop biomass was incorporated. Therefore, it could be concluded that rice soil alone was more influenced for CH
  <sub>4</sub> emission than rice plants in paddy fields.
 
</p></abstract><kwd-group><kwd>Rice Plant</kwd><kwd> Rice Soil</kwd><kwd> Methane Emission</kwd><kwd> Green Manure</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Methane, a major component of natural gas is the second most important greenhouse gas (GHG) and the concentration of atmospheric CH<sub>4</sub> was 700 - 1774 ppb in 2005 [<xref ref-type="bibr" rid="scirp.87431-ref1">1</xref>] . It is the most potent GHG gas with global warming potentials (GWP) of 25, which is greater than CO<sub>2</sub> [<xref ref-type="bibr" rid="scirp.87431-ref1">1</xref>] . Particularly, CH<sub>4</sub> is a major issue in flooded rice culture accounting for 10% - 40% of the global CH<sub>4</sub> emissions [<xref ref-type="bibr" rid="scirp.87431-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.87431-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.87431-ref4">4</xref>] and will continue to be a major source as global rice production needs to be increased to feed an ever increasing population, especially in Asian countries [<xref ref-type="bibr" rid="scirp.87431-ref5">5</xref>] . To meet up future demand, annual rice production must to be increased from 520 million tons to at least 880 million tons by 2025 [<xref ref-type="bibr" rid="scirp.87431-ref6">6</xref>] .</p><p>Methane produced in rice fields by methanogenic bacteria is thought to be released into the atmosphere by different pathways: molecular diffusion at water-air interfaces, ebullition of gas bubbles and plant mediated transport [<xref ref-type="bibr" rid="scirp.87431-ref7">7</xref>] . However, CH<sub>4</sub> emission contribution from rice fields have not been yet studied under different cover crop biomass incorporated field conditions. Therefore, the objective of this study was to find out the contribution of rice plants and soil amended with cover crop biomass incorporation rates on CH<sub>4</sub> emission in mono rice culture.</p></sec><sec id="s2"><title>2. Methods</title><sec id="s2_1"><title>2.1. Experimental Field Preparation and Rice Cultivation</title><p>In Korean paddy soil, 140 and 90 kg∙ha<sup>−1</sup> of barley and hairy vetch seeds are recommended as a winter cover crop, respectively [<xref ref-type="bibr" rid="scirp.87431-ref8">8</xref>] ; but a mixture of 75% barley and 25% vetch seeds were sown after rice harvest in 2010 and 2011 at the experimental farm of Gyeongsang National University (36˚50'N and 128˚26'E), Jinju, South Korea. The selected soil was silt loam in texture and classified as typic Haplaquents with somewhat impeded drainage and organic matter content of 20.4 &#177; 3.9 g∙kg<sup>−1</sup>; soil pH (1:5 with H<sub>2</sub>O), 6.2 &#177; 0.32; available P<sub>2</sub>O<sub>5</sub>, 78.7 &#177; 3.1 mg∙kg<sup>−1</sup>.</p><p>In early June of 2011 and 2012, the above-ground biomass of cover crop was harvested manually and yield properties were recorded. Cover crop biomass productivity was 12 Mg∙ha<sup>−1</sup>, which was composed of 3 and 9 Mg∙ha<sup>−1</sup> barley and hairy vetch in both the years, respectively. The cover crop mixture contained 42.20% (wt∙wt<sup>−1</sup> on dry weight base) total organic C, 2.42% total N, 17.44 C/N ratio, cellulose 29.08%, lignin 18.43%, protein 17.06% and ash 8.4%. Cover crop was chopped into 5 - 10 cm size manually and applied at 0, 3, 6, and 12 Mg∙ha<sup>−1</sup> as treatments followed by mechanical mixing with surface soil. Randomized complete block design was utilized and treatments were repeated thrice.</p><p>Twenty one days old rice (Japonica type) seedlings were transplanted at 15 cm &#215; 30 cm spacing on 11th and 8th June of 2011 and 2012. The recommended dose of chemical fertilizers (N - P − K = 90 - 20 − 48 kg∙ha<sup>−1</sup>) were applied one day before rice transplanting [<xref ref-type="bibr" rid="scirp.87431-ref9">9</xref>] . Soil was flooded right after biomass incorporation at 5 - 7 cm depth, and then this level was maintained during rice cultivation. Water was drained at 21 days before rice harvesting on 21 and 18 October, 2011 and 2012, respectively.</p></sec><sec id="s2_2"><title>2.2. CH<sub>4</sub> Gas Sampling and Analysis</title><p>A closed-chamber method [<xref ref-type="bibr" rid="scirp.87431-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.87431-ref11">11</xref>] was used to estimate CH<sub>4</sub> emission rates during rice cultivation. Closed acrylic column chambers with 20 cm diameter and 20 cm height were placed inner soil surface by 20 cm between rice hills for estimating CH<sub>4</sub> emission rates from soil during rice cultivation [<xref ref-type="bibr" rid="scirp.87431-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.87431-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.87431-ref14">14</xref>] .</p></sec><sec id="s2_3"><title>2.3. Soil Sampling and Analysis</title><sec id="s2_3_1"><title>2.3.1. Estimation of Dissolve Carbons</title><p>Dissolved organic carbon from fresh soil was determined using hot water as described by Ghani et al. [<xref ref-type="bibr" rid="scirp.87431-ref15">15</xref>] .</p></sec><sec id="s2_3_2"><title>2.3.2. mcrA and pmoA gene Copy Numbers</title><p>Fresh soil samples were collected at 30 and 70 days after transplanting (DAT) during rice cultivation to compare methanogenic and metanotrophic activities. Soil samples were lyophilized by a Pilot Lyophilizer (PVTFD50A, Ilsin, Korea) and stored at −70˚C for analysis. DNA was extracted from the lyophilized soils by a Fast DNA SPIN Kit (MP Biomedical, Santa Ana, CA, USA) following the manufacturer’s instruction and was used as a template for quantitative analysis. The real-time quantitative PCR (qPCR) was performed in a BioRad CFX96 real-time thermo-cycler (BioRad Laboratories, Hercules, CA, USA). Reaction mixtures contained 5 μl of qPCR ROX &amp; Go Green (qBiogene, Illkirch, France), 1.5 μg bovine serum albumin (Sigma-Aldrich, Germany), 5 pmol of each primer [<xref ref-type="bibr" rid="scirp.87431-ref16">16</xref>] , 5% dimethyl sulfoxide (Sigma-Aldrich, Steinheim, Germany), and 0.5 μl DNA template and water was added to make the final volume up to 25 μl [<xref ref-type="bibr" rid="scirp.87431-ref17">17</xref>] . The amplification was carried out as follows: initial denaturation at 95˚C for 10 min and 40 cycles at 94˚C for one min, 52˚C for one min and 72˚C for one min. Standard curves were constructed using 10-fold serial dilutions of plasmids containing a partial sequence of Methanosarcina mazei mcrA gene and Methylocystis sp. SD5 pmoA gene. Amplification efficiencies of the PCRs were calculated using data from the standard curves with the formula: efficiency [10 (−1/slope)] − 1. To minimize the inhibitory effects of co-extracted substances with DNA, amplifications of serial diluted standards were performed for samples of each plot. Four independent assays were run for each sample. The quality of the amplification was evaluated by the generation of melting curves of the PCR products.</p></sec></sec><sec id="s2_4"><title>2.4. Statistical Analysis</title><p>Statistical analyses were conducted using SAS software [<xref ref-type="bibr" rid="scirp.87431-ref18">18</xref>] . A one-way ANOVA was carried out to compare the means of different treatments. Fisher’s protected least significant difference (LSD) was calculated at 0.05 probability level for making treatment mean comparisons.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Methane Emission through Rice Plants and Soil</title><p>Methane flux was low with 0 and 3 Mg∙ha<sup>−1</sup> biomass incorporated plots, which was comparable to typical CH<sub>4</sub> emission pattern of a general paddy soil (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><p>Methane emission rate was comparatively lower at initial rice growing stage and then increased significantly with the development of soil reductive conditions and plant growth. Higher CH<sub>4</sub> emission rates were observed from paddy field due to incorporation of 6 Mg∙ha<sup>−1</sup> or more cover crop biomass (<xref ref-type="fig" rid="fig1">Figure 1</xref>). However, the highest peak of CH<sub>4</sub> emission was observed at 30 DAT with organic amended soils. For example, more than 77% of total CH<sub>4</sub> was emitted within 50 DAT when 12 Mg∙ha<sup>−1</sup> biomass was incorporated.</p></sec><sec id="s3_2"><title>3.2. Methane Emission through Rice Soil Alone</title><p>In rice soil, CH<sub>4</sub> emission rates were lower up to 53 DAT and then gradually increased CH<sub>4</sub> in all treatments. Among the treatments, low CH<sub>4</sub> emissions were observed in 0 and 3 Mg∙ha<sup>−1</sup> from rice soil and pattern was not comparable to typical CH<sub>4</sub> emission trend of a general paddy field (<xref ref-type="fig" rid="fig1">Figure 1</xref>). However, application of higher amount of biomass was responsible for increased CH<sub>4</sub> emission. Most CH<sub>4</sub> was emitted from rice soil after 53 DAT and the rate sharply increased due to biomass application levels. For example, about 62% of the total CH<sub>4</sub> was emitted under 12 Mg∙ha<sup>−1</sup> biomass applications after 53 DAT.</p></sec><sec id="s3_3"><title>3.3. Net CH<sub>4</sub> Emission</title><p>The contribution of rice plants plus soil on total CH<sub>4</sub> flux was 181 - 186 and 354 - 367 kg∙ha<sup>−1</sup> and the contribution of rice soil alone was 165 - 171 and 324 - 334 kg∙ha<sup>−1</sup> with 0 and 3 Mg∙ha<sup>−1</sup> biomass incorporation in 2011 and 2012, respectively (<xref ref-type="fig" rid="fig2">Figure 2</xref>). About 9% - 10% CH<sub>4</sub> emission was mediated by rice plants and about 90% - 91% from rice soil alone in 0 and 3 Mg∙ha<sup>−1</sup> treated plots. However, emission rates were 47% - 52% through rice plants and 48% - 53% from soil alone because higher rate of biomass incorporation in both the years.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>At initial rice growth stages, most CH<sub>4</sub> emission took place from soil plus rice plants but after 53 DAT its emission was larger from rice soil alone. However, many authors claim that majority of CH<sub>4</sub> gas produced in the rice field is emitted through aerenchyma channels and only a little portion is diffused through the soil-water inter-phase of flooded soils [<xref ref-type="bibr" rid="scirp.87431-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.87431-ref20">20</xref>] . Our results showed that rice plants plus soil emitted CH<sub>4</sub> until 53 DAT and then its decreased and continued up to harvesting (<xref ref-type="fig" rid="fig1">Figure 1</xref>). At early growth stages, rice roots released more carbon substrates for methanogen activity [<xref ref-type="bibr" rid="scirp.87431-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.87431-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.87431-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.87431-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.87431-ref25">25</xref>] and thus more</p><p>CH<sub>4</sub> emission takes place (<xref ref-type="table" rid="table1">Table 1</xref>(a)). At later growth stages, easily available carbon sources reduced [<xref ref-type="bibr" rid="scirp.87431-ref26">26</xref>] and O<sub>2</sub> supply increases in the rhizosphere [<xref ref-type="bibr" rid="scirp.87431-ref27">27</xref>] and methanotrophs uses CH<sub>4</sub> as terminal electron acceptor for their energy source [<xref ref-type="bibr" rid="scirp.87431-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.87431-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.87431-ref30">30</xref>] [<xref ref-type="bibr" rid="scirp.87431-ref31">31</xref>] resulting in emission of CH<sub>4</sub> low (<xref ref-type="table" rid="table1">Table 1</xref>(b)) andmore CO<sub>2</sub> from paddy field [<xref ref-type="bibr" rid="scirp.87431-ref32">32</xref>] . The abundance of methanotrophs and methanogens (<xref ref-type="fig" rid="fig3">Figure 3</xref>, <xref ref-type="fig" rid="fig4">Figure 4</xref>) justifies our statement.</p><table-wrap-group id="1"><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> (a) Soil characteristics as influenced by different cover crop biomass incorporation on 30th day after rice transplanting; (b) Soil characteristics as influenced by different cover crop biomass incorporation on 70th day after rice transplanting</title></caption><table-wrap id="1_1"><caption><title> (b)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameters</th><th align="center" valign="middle"  colspan="4"  >Soil alone</th><th align="center" valign="middle"  colspan="4"  >Soil plus plant</th></tr></thead><tr><td align="center" valign="middle" >Biomass application level (Mg∙ha<sup>−1</sup>)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >12</td></tr><tr><td align="center" valign="middle" >CH<sub>4</sub> emission rate (g∙m<sup>−2</sup>)</td><td align="center" valign="middle" >0.32d</td><td align="center" valign="middle" >0.76c</td><td align="center" valign="middle" >1.50b</td><td align="center" valign="middle" >4.12a</td><td align="center" valign="middle" >1.05d</td><td align="center" valign="middle" >3.61c</td><td align="center" valign="middle" >20.19b</td><td align="center" valign="middle" >28.78a</td></tr><tr><td align="center" valign="middle" >DOC (mg∙kg<sup>−1</sup>)</td><td align="center" valign="middle" >217c</td><td align="center" valign="middle" >242b</td><td align="center" valign="middle" >242b</td><td align="center" valign="middle" >252a</td><td align="center" valign="middle" >244d</td><td align="center" valign="middle" >251c</td><td align="center" valign="middle" >271b</td><td align="center" valign="middle" >274a</td></tr><tr><td align="center" valign="middle" >HWOC (mg∙kg<sup>−1</sup>)</td><td align="center" valign="middle" >595d</td><td align="center" valign="middle" >602c</td><td align="center" valign="middle" >742b</td><td align="center" valign="middle" >888a</td><td align="center" valign="middle" >914d</td><td align="center" valign="middle" >994c</td><td align="center" valign="middle" >1057b</td><td align="center" valign="middle" >1152a</td></tr></tbody></table></table-wrap><table-wrap id="1_2"><caption><title></title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameters</th><th align="center" valign="middle"  colspan="4"  >Soil alone</th><th align="center" valign="middle"  colspan="4"  >Soil plus plant</th></tr></thead><tr><td align="center" valign="middle" >Biomass application level (Mg∙ha<sup>−1</sup>)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >12</td></tr><tr><td align="center" valign="middle" >CH<sub>4</sub> emission rate (g∙m<sup>−2</sup>)</td><td align="center" valign="middle" >3.54d</td><td align="center" valign="middle" >3.84c</td><td align="center" valign="middle" >13.77b</td><td align="center" valign="middle" >15.74a</td><td align="center" valign="middle" >1.16d</td><td align="center" valign="middle" >1.38c</td><td align="center" valign="middle" >2.41b</td><td align="center" valign="middle" >3.78a</td></tr><tr><td align="center" valign="middle" >DOC (mg∙kg<sup>−1</sup>)</td><td align="center" valign="middle" >262d</td><td align="center" valign="middle" >298c</td><td align="center" valign="middle" >338b</td><td align="center" valign="middle" >420a</td><td align="center" valign="middle" >320d</td><td align="center" valign="middle" >352c</td><td align="center" valign="middle" >380b</td><td align="center" valign="middle" >484a</td></tr><tr><td align="center" valign="middle" >HWOC (mg∙kg<sup>−1</sup>)</td><td align="center" valign="middle" >600d</td><td align="center" valign="middle" >778c</td><td align="center" valign="middle" >803b</td><td align="center" valign="middle" >994a</td><td align="center" valign="middle" >917d</td><td align="center" valign="middle" >1022c</td><td align="center" valign="middle" >1132b</td><td align="center" valign="middle" >1182a</td></tr></tbody></table></table-wrap></table-wrap-group><p>Note: DOC and HWOC mean, dissolved, and hot water extractable organic carbon, respectively.</p></sec><sec id="s5"><title>5. Conclusion</title><p>Methane emission increased up to 53 DAT from soil plus rice plants and then it decreased and continued up to rice harvesting stage. Our results predicted that about 9% - 10% CH<sub>4</sub> emission was mediated by rice plants and about 90% - 91% by soil alone when 0 and 3 Mg∙ha<sup>−1</sup> of cover crop biomass was incorporated.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Haque, M.M., Biswas, J.C., Alam, M.A. and Kim, P.J. (2018) Contribution of Rice Plants and Cover Crop Biomass Amended Soil on Methane Emission. American Journal of Climate Change, 7, 477-485. https://doi.org/10.4236/ajcc.2018.73029</p></sec></body><back><ref-list><title>References</title><ref id="scirp.87431-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">IPCC Climate Change (2007) The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, New York, 996.</mixed-citation></ref><ref id="scirp.87431-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Le Mer, J. and Roger, P. (2001) Production, Oxidation, Emission and Consumption of Methane by Soils: A Review. European Journal of Soil Biology, 37, 25-50.  
https://doi.org/10.1016/S1164-5563(01)01067-6</mixed-citation></ref><ref id="scirp.87431-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Chen, Y.H. and Prinn, R.G. (2006) Estimation of Atmospheric Methane Emissions between 1996 and 2001 Using a Three-Dimensional Global Chemical Transport Model. Journal of Geophysical Research, 111, 1-25.  
https://doi.org/10.1029/2005JD006058</mixed-citation></ref><ref id="scirp.87431-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Dalal, R.C., Allen, D.E., livesley, S.J. and Richards, G. (2008) Magnitude and Biophysical Regulators of Methane Emission and Consumption in the Australian Agricultural, Forest, and Submerged Land Scape: A Review. Plant and Soil, 309, 43-76. https://doi.org/10.1007/s11104-007-9446-7</mixed-citation></ref><ref id="scirp.87431-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Minamikawa, K. and Sakai, N. (2006) The Practical Use of Water Management Based on Soil Redox Potential for Decreasing Methane Emission from a Paddy Field in Japan. Agriculture Ecosystems and Environment, 116, 181-188.  
https://doi.org/10.1016/j.agee.2006.02.006</mixed-citation></ref><ref id="scirp.87431-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Chang, T. (1984) Conservation of Rice Genetic Resources: Luxury or Necessity? Science, 224, 251–256. https://doi.org/10.1126/science.224.4646.251</mixed-citation></ref><ref id="scirp.87431-ref7"><label>7</label><mixed-citation publication-type="book" xlink:type="simple">Schütz, H., Schroede, R.P. and Rennenberg, H. (1991) Role of Plants in Regulating the Methane Flux to the Atmosphere. In: Sharkey, T.D., Holland, E.A., Mooney, H.A., Eds., Trace Gas Emissions by Plants, Academic Press, San Diego, 29-63.  
https://doi.org/10.1016/B978-0-12-639010-0.50007-8</mixed-citation></ref><ref id="scirp.87431-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Jeon, W.T., Bongsu, C., Abd EL-Azeem, S.A.M. and Yong, S.O. (2011) Effect of Different Seeding Methods on Green Manure Biomass, Soil Properties and Rice Yield in Rice Based Cropping Systems. African Journal of Biotechnoogy, 10, 2024-2031.</mixed-citation></ref><ref id="scirp.87431-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">RDA (Rural Development Administration) (1999) Fertilization Standard of Crop Plants. National Institute of Agricultural Science and Technology, Suwon, 148.</mixed-citation></ref><ref id="scirp.87431-ref10"><label>10</label><mixed-citation publication-type="book" xlink:type="simple">Rolston, D.E. (1986) Gas Flux. In: Klute, A., Ed., Methods of Soil Analysis, Part 1, 2nd Edition, ASA and SSSA, Madison, WI, 1103-1119.</mixed-citation></ref><ref id="scirp.87431-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Haque, M.M., Kim, S.Y., Pramanik, P., Kim, G.Y. and Kim, P.J. (2013) Optimum Application Level of Winter Cover Crop Biomass as Green Manure under Considering Methane Emission and Rice Productivity in Paddy Soil. Biology and Fertility of Soils, 49, 487-493. https://doi.org/10.1007/s00374-012-0766-2</mixed-citation></ref><ref id="scirp.87431-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Lou, Y., Li, Z., Zhang, T. and Liang, Y. (2004) CO2 Emissions from Subtropical Arable Soils of China. Soil Biology &amp; Biochemistry, 36, 1835-1842.  
https://doi.org/10.1016/j.soilbio.2004.05.006</mixed-citation></ref><ref id="scirp.87431-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Xiao, Y., Xie, G., Lu, G., Ding, X. and Lu, Y. (2005) The Value of gas Exchange as a Service by Rice Paddies in Suburban Shanghai, PR China. Agriculture Ecosystems and Environment, 109, 273-283. https://doi.org/10.1016/j.agee.2005.03.016</mixed-citation></ref><ref id="scirp.87431-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Iqbal, J., Ronggui, H., Lijun, D., Lan, L., Shan, L., Tao, C. and Leilei, R. (2008) Differences in Soil CO2 Flux between Different Land Use Types in Mid-Subtropical China. Soil Biology &amp; Biochemistry, 40, 2324-2333.  
https://doi.org/10.1016/j.soilbio.2008.05.010</mixed-citation></ref><ref id="scirp.87431-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Ghani, A., Dexter, M. and Perrott, K. (2003) Hot-Water Extractable Carbon in Soils: A Sensitive Measurement for Determining Impacts of Fertilization, Grazing and Cultivation. Soil Biology &amp; Biochemistry, 35, 1231-1243.  
https://doi.org/10.1016/S0038-0717(03)00186-X</mixed-citation></ref><ref id="scirp.87431-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Luton, P.E., Wayne, J.M., Sharp, R.J. and Riley, P.W. (2002) The mcrA Gene as an Alternative to 16S rRNA in the Phylogenetic Analysis of Methanogen Populations in Landfill. Microbiology, 148, 3521-3530.  
https://doi.org/10.1099/00221287-148-11-3521</mixed-citation></ref><ref id="scirp.87431-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Ufnar, J.A., Ufnar, D.F., Wang, S.Y. and Ellender, R.D. (2007) Development of a Swine-Specific Fecal Pollution Marker Based on Host Differences in Methanogen mcrA Genes. Applied Environment Microbiology, 73, 5209-5217.  
https://doi.org/10.1128/AEM.00319-07</mixed-citation></ref><ref id="scirp.87431-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">SAS Institute (1995) System for Windows Release 6.11. SAS Institute, Cary.</mixed-citation></ref><ref id="scirp.87431-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Mariko, S., Harazano, Y., Owa, N. and Nouchi, I. (1991) Methane in Flooded Soil Water and the Emission through Rice Plants to Atmosphere. Environmental and Experimental Botany, 31, 343-350. https://doi.org/10.1016/0098-8472(91)90059-W</mixed-citation></ref><ref id="scirp.87431-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Inubushi, K., Muramatsu, Y. and Umebayashi, M. (1992) Influence of Percolation on Methane Emission from Flooded Paddy Soil. Japanese Journal of Soil Science and Plant Nutrition, 63, 184-189.</mixed-citation></ref><ref id="scirp.87431-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Kimura, M. (1997) Sources of Methane Emitted from Paddy Fields. Nutrient Cycling in Agroecosysts, 49, 153-161. https://doi.org/10.1023/A:1009790920271</mixed-citation></ref><ref id="scirp.87431-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Lu, Y.H., Wassmann, R., Neue, H.U. and Huang, C.Y. (2000) Dynamics of Dissolved Organic Carbon and Methane Emissions in a Flooded Rice Soil. Soil Science Society of American Journal, 6, 2011-2017.  
https://doi.org/10.2136/sssaj2000.6462011x</mixed-citation></ref><ref id="scirp.87431-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Cai, Z.C. (1997) A Category for Estimate of CH4 Emission from Rice Paddy Fields in China. Nutrient Cycling in Agroecosysts, 49, 171-179.  
https://doi.org/10.1023/A:1009729800707</mixed-citation></ref><ref id="scirp.87431-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Xu, H., Cai, Z.C., Jia, Z.J. and Tsuruta, H. (2000) Effect of Land Management in Winter Crop Season on CH4 Emission during the Following Flooded and Rice Growing Period. Nutrient Cycling in Agroecosysts, 58, 12-18.  
https://doi.org/10.1023/A:1009823425806</mixed-citation></ref><ref id="scirp.87431-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Nayak, D.R., Babu, Y.J. and Adhya, T.K. (2007) Long-Term Application of Compost Influences Microbial Biomass and Enzyme Activities in a Tropical Aeric Endoaquept Planted to Rice under Flooded Condition. Soil Biology &amp; Biochemistry, 39, 1897-1906. https://doi.org/10.1016/j.soilbio.2007.02.003</mixed-citation></ref><ref id="scirp.87431-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Gilbert, B. and Frenzel, P. (1998) Rice Roots and CH4 Oxidation: The Activity of Bacteria, Their Distribution and the Micro Environment. Soil Biology &amp; Biochemistry, 30, 1903-1916. https://doi.org/10.1016/S0038-0717(98)00061-3</mixed-citation></ref><ref id="scirp.87431-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Atulba, S.L., Gutierrez, J., Kim, G.W., Kim, S.Y., Khan, M.I., Lee, Y.B. and Kim, P.J. (2015) Evaluation of Rice Root Oxidizing Potential Using Digital Image Analysis. Journal of the Korean Society for Applied Biological Chemistry, 58, 463-471.  
https://doi.org/10.1007/s13765-015-0042-x</mixed-citation></ref><ref id="scirp.87431-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Bodelier, P.L.E., Roslev, P., Henckel, T. and Frenzel, P. (2000) Stimulation by Ammonium-Based Fertilizers of Methane Oxidation in Soil around Rice Roots. Nature, 403, 421-424. https://doi.org/10.1038/35000193</mixed-citation></ref><ref id="scirp.87431-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Henckel, T., Roslev, P. and Conrad, R. (2000) Effects of O2 and CH4 on Presence and Activity of the Indigenous Methanotrophic Community in Rice Field Soil. Environmental Microbiology, 2, 666-679.  
https://doi.org/10.1046/j.1462-2920.2000.00149.x</mixed-citation></ref><ref id="scirp.87431-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Macalady, J.L., McMillan, A.M.S., Dickens, A.F., Tyler, S.C. and Scow, K.M. (2002) Population Dynamics of Type I and II Methanotrophic Bacteria in Rice Soils. Environmental Microbiology, 4, 148-157.  
https://doi.org/10.1046/j.1462-2920.2002.00278.x</mixed-citation></ref><ref id="scirp.87431-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">Mohanty, S.R., Bodelier, P.L.E., Floris, V. and Conrad, R. (2006) Differential Effects of Nitrogenous Fertilizers on Methane-Consuming Microbes in Rice Field and Forest Soils. Applied Environment Microbiology, 72, 1346-1354.  
https://doi.org/10.1128/AEM.72.2.1346-1354.2006</mixed-citation></ref><ref id="scirp.87431-ref32"><label>32</label><mixed-citation publication-type="other" xlink:type="simple">Haque, M.M., Kim, S.Y., Kim, G.W. and Kim, P.J. (2015) Optimization of Removal and Recycling Ratio of Cover Crop Biomass Using Carbon Balance to Sustain Soil Organic Carbon Stocks in a Mono-Rice Paddy System. Agriculture Ecosystems and Environment, 207, 119-125. https://doi.org/10.1016/j.agee.2015.03.022</mixed-citation></ref></ref-list></back></article>